Data Quality and Record Linkage TechniquesSpringer Science & Business Media, 2007 M05 23 - 234 pages This book offers a practical understanding of issues involved in improving data quality through editing, imputation, and record linkage. The first part of the book deals with methods and models, focusing on the Fellegi-Holt edit-imputation model, the Little-Rubin multiple-imputation scheme, and the Fellegi-Sunter record linkage model. The second part presents case studies in which these techniques are applied in a variety of areas, including mortgage guarantee insurance, medical, biomedical, highway safety, and social insurance as well as the construction of list frames and administrative lists. This book offers a mixture of practical advice, mathematical rigor, management insight and philosophy. |
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Other editions - View all
Data Quality and Record Linkage Techniques Thomas N. Herzog,Fritz J. Scheuren,William E. Winkler No preview available - 2007 |
Common terms and phrases
additional agreement algorithm analyst applications approach associated birth blocking Census changed Chapter characters comparator complete components consider consists construct contain correct created customers data elements data quality database death describe designated determine developed discussed distributions duplicate editing errors estimates example fields frame given household identify important improve imputation individuals initial interest issues known last name letter linked matching methods metrics missing mortgage multiple non-matches obtain original Pagree pairs parsing partition population possible probabilities problem procedures produce properties record linkage reported represent sample scheme situations Smith Social Security Social Security Administration specific standardization statistical status Step street string survey Table techniques types typically typographical United values variables weight Winkler Zip Code
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Page 213 - Practical Data-Oriented Microaggregation for Statistical Disclosure Control. IEEE Transactions on Knowledge and Data Engineering, Vol.
Page 213 - Out of the Crisis (Cambridge: MIT, Center for Advanced Engineering Study, 1986).
Page 2 - Association and a Fellow of both the American Statistical Association and the American Association for the Advancement of Science.